Abstract A092: The SPAN Score as the Primary Outcome for Multicenter Preclinical Randomized Controlled Stroke Trials

Background: Selecting a robust, generalizable primary outcome is critical for multicenter preclinical stroke trials. The Stroke Preclinical Assessment Network is a randomized, placebo-controlled, blinded, multi-laboratory trial using a multi-arm, multi-stage design to evaluate interventions with high translational potential. During a SPAN 2.0 pilot study, we developed the SPAN score to capture functional deficits after middle cerebral artery occlusion (MCAO). Reliability and validity analyses led to a 6-item weighted version. This study evaluated (1) the performance of the weighted score in the SPAN 2.0 pilot dataset and (2) its external validation in independent SPAN 2.1 and 2.2 cohorts to determine suitability as the standardized primary outcome for multicenter preclinical stroke research. Methods: Data from SPAN 2.0, 2.1, and 2.2 were analyzed. In the pilot, mice underwent 30- or 60-minute MCAO to produce mild to severe injuries. Outcomes included behavioral assessments, MRI, and survival. Probabilistic Index modeling estimated the probability that a randomly selected 30-minute outperformed a 60-minute MCAO animal (0.5 = no difference, >0.5 favors 30-minute). Kaplan–Meier curves and Cox models assessed mortality. Receiver Operating Characteristic (ROC) analysis tested the SPAN score’s ability to distinguish stroke from non-stroke and detect lesion volumes > 5 mm3 and > 10 mm3. Worst-score imputation was applied for deaths before data collection. Results: In SPAN 2.0, survival was higher after 30-minute MCAO (chi^2 = 4.17, p = 0.04). The weighted SPAN score was worse in the 60-minute group (p = 0.036). Differentiating measures included day-2 Bederson score, day-30 Novel Object Recognition, day-2 MRI infarct volume with midline shift, and day-30 CSF volume; several behavioral tests did not significantly separate groups. In SPAN 2.1 and 2.2, with worst-score imputation, the SPAN score showed greater impairment in aged vs. diabetes-induced (p = 0.022) and young healthy mice (p < 0.001). ROC confirmed discriminatory ability: infarct vs. none, AUC = 0.747 (p < 0.001); infarct > 10 mm3 vs. none, AUC = 0.774 (p < 0.001). Conclusion: The 6-item weighted SPAN score was the most suitable primary outcome in the SPAN 2.0 pilot. External validation in SPAN 2.1 and 2.2 confirmed its consistent ability to differentiate stroke severity across models and sites, supporting its adoption as the standardized primary outcome for future multicenter preclinical stroke trials.

Authors

Institutions

Publication Details

Journal
Stroke
Published
2026-01-29
DOI
https://doi.org/10.1161/str.57.suppl_1.a092
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract A092: The SPAN Score as the Primary Outcome for Multicenter Preclinical Randomized Controlled Stroke Trials

Jessica S. Lamb, Patrick Lyden, Sanem A Aykan, XUYAN JIN et al.
Stroke
Acute Ischemic Stroke Management
article

Abstract A092: The SPAN Score as the Primary Outcome for Multicenter Preclinical Randomized Controlled Stroke Trials

Jessica S. Lamb, Patrick Lyden, Sanem A Aykan, XUYAN JIN, Takahiko Imai, Andreia Morais, Marcio Diniz, Karisma Nagarkatti, Cenk Ayata
article en

Abstract

Background: Selecting a robust, generalizable primary outcome is critical for multicenter preclinical stroke trials. The Stroke Preclinical Assessment Network is a randomized, placebo-controlled, blinded, multi-laboratory trial using a multi-arm, multi-stage design to evaluate interventions with high translational potential. During a SPAN 2.0 pilot study, we developed the SPAN score to capture functional deficits after middle cerebral artery occlusion (MCAO). Reliability and validity analyses led to a 6-item weighted version. This study evaluated (1) the performance of the weighted score in the SPAN 2.0 pilot dataset and (2) its external validation in independent SPAN 2.1 and 2.2 cohorts to determine suitability as the standardized primary outcome for multicenter preclinical stroke research. Methods: Data from SPAN 2.0, 2.1, and 2.2 were analyzed. In the pilot, mice underwent 30- or 60-minute MCAO to produce mild to severe injuries. Outcomes included behavioral assessments, MRI, and survival. Probabilistic Index modeling estimated the probability that a randomly selected 30-minute outperformed a 60-minute MCAO animal (0.5 = no difference, >0.5 favors 30-minute). Kaplan–Meier curves and Cox models assessed mortality. Receiver Operating Characteristic (ROC) analysis tested the SPAN score’s ability to distinguish stroke from non-stroke and detect lesion volumes > 5 mm3 and > 10 mm3. Worst-score imputation was applied for deaths before data collection. Results: In SPAN 2.0, survival was higher after 30-minute MCAO (chi^2 = 4.17, p = 0.04). The weighted SPAN score was worse in the 60-minute group (p = 0.036). Differentiating measures included day-2 Bederson score, day-30 Novel Object Recognition, day-2 MRI infarct volume with midline shift, and day-30 CSF volume; several behavioral tests did not significantly separate groups. In SPAN 2.1 and 2.2, with worst-score imputation, the SPAN score showed greater impairment in aged vs. diabetes-induced (p = 0.022) and young healthy mice (p < 0.001). ROC confirmed discriminatory ability: infarct vs. none, AUC = 0.747 (p < 0.001); infarct > 10 mm3 vs. none, AUC = 0.774 (p < 0.001). Conclusion: The 6-item weighted SPAN score was the most suitable primary outcome in the SPAN 2.0 pilot. External validation in SPAN 2.1 and 2.2 confirmed its consistent ability to differentiate stroke severity across models and sites, supporting its adoption as the standardized primary outcome for future multicenter preclinical stroke trials.

StrokeVol. 57(Suppl_1)
University of Southern California (US), LAC+USC Medical Center (US), Massachusetts General Hospital (US), Icahn School of Medicine at Mount Sinai (US)
Good health and well-being
Openalex Percentile: Top 74%
Acute Ischemic Stroke Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.